jfm-tables-figures
Use when microstructure exhibits — spreads, depth, price-impact, order-flow, and event-study plots — are the bottleneck for a Journal of Financial Markets (JFM) manuscript. Sharpens the exhibits; it does not invent evidence or citations.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfm-tables-figures --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Tables and Figures (jfm-tables-figures) ## When to trigger - The main table reports many liquidity coefficients but the reader cannot see the headline result - A market-structure event has no event-study figure showing the spread/depth path around the date - Units are ambiguous (basis points vs. cents vs. percent; per-share vs. per-dollar) across exhibits - Intraday or cross-sectional patterns a
What does the jfm-tables-figures skill do?
Use when microstructure exhibits — spreads, depth, price-impact, order-flow, and event-study plots — are the bottleneck for a Journal of Financial Markets (JFM) manuscript. Sharpens the exhibits; it does not invent evidence or citations.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfm-tables-figures --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.